Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Improved Automated Tracking of Workouts for Fitness Facilities

Fitness tracking is the process of tracking the fitness-related activity and metrics of a person such as heart rate, distance walked, and consumption of calories. Emerging and specialized wireless sensors and devices also enable the tracking of movements performed during workouts in gyms. This project will help improve the motion tracking experience by reporting workout activities to gym customers, in real-time and in usable ways (via new auditory feedback and enhanced user interfaces) on their Android smart phones. Additional features include better handling of background processing on the latest Android operating system as well as event logging enabling continuous improvement of the system. Gymtrack Inc. will benefit from this project as its resulting app for Android will improve the overall user experience and its improvements to the basic infrastructure will simplify the introduction of future features, across platforms.

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Faculty Supervisor:

Daniel Amyot

Student:

Shahzeb Khowaja

Partner:

Gymtrack

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Ottawa

Program:

Accelerate

Effect of Fluid, Rock, and Simulator Variables on Liquid Solvent Heavy Oil Extraction

Heavy oil and bitumen in-situ extraction aided by solvent addition is a potential EOR technology that provides an alternative to the current thermal processes. However, its mechanism is not well understood yet. The aim of this study is to improve the understanding of solvent based processes by history matching experimental data using a reservoir simulator developed by Shell. At the end of this project, it is expected to find the variables which govern the behavior of the system and also find a suitable approach to history match the data in a short computing time. The benefit to Shell will be new insight into the field-scale modeling of solvent based in situ recovery processes gained by applying some methodologies that have been developed during the execution of the intern?s research project at the University of Calgary.

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Faculty Supervisor:

Harvey Yarranton

Student:

Francisco Ramos-Pallares

Partner:

Shell Chemicals

Discipline:

Engineering - chemical / biological

Sector:

Chemicals

University:

University of Calgary

Program:

Accelerate

Enhancing Corrosion Resistance of Superheater Alloys

The efficiencies of biomass-fueled power plants are much lower than those of natural gas and coal-fueled plants because exit steam temperatures are restricted to inhibit corrosion of superheater tubes. Nexterra needs to raise steam conditions from 403?C to 460?C in future systems in order to satisfy customer demands. The raise in the probability of corrosion issues due to contaminants in the fuel. In order to achieve the more aggressive steam conditions it is necessary to modify boiler design to include selection of the boiler tube materials that are resistant to corrosion. The intern, Danielle Salvatore, under the supervision of Curtis Berlinguette, has recently introduced a facile fabrication method in Science Advances of metal alloy and/or metal oxide layers. The near-infrared-driven decomposition process will be used to coat inexpensive tube materials with corrosion resistant layers. These materials will be used in targeted testing program under model tube and flue gas temperature conditions. A large savings in capital and maintenance costs could be achieved by applying a protective corrosion layer instead of utilizing more expensive tube materials. superheater conditions increases

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Faculty Supervisor:

Curtis Berlinguette

Student:

Danielle Salvatore

Partner:

Nexterra Systems Corp.

Discipline:

Chemistry

Sector:

Alternative energy

University:

Program:

Accelerate

Text Mining and Visual Analytics for MOOCs Conversations

The field of education is witnessing dramatic changes with the advent of Massive Open Online Courses (MOOCs), in which large numbers of students can take courses on the Web. However, in spite of their initial success, MOOC developers have been frustrated by the fact that many students do not complete the courses, because they often feel they are not sufficiently engaged. In this project, we aim to address this problem in two ways: on the one hand by providing online learners with a more meaningful and engaging dialogue experience in MOOC discussion forums; on the other hand by providing teachers with effective interfaces to better understand what students are discussing about in these forums. While working on this project, the intern will become familiar with existing tools for extracting information from conversations and for effectively visualizing the extracted information. He will also learn how to adapt and apply these tools in the new domain of MOOCs. As a result of the project, the partner organization will benefit through exposure to innovative approaches to textual analysis, and will thereby be able to provide its users with more useful information, further differentiating itself in the marketplace.

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Faculty Supervisor:

Giuseppe Carenini

Student:

Jordon Johnson

Partner:

Prollster

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

Penetration of diluted bitumen on shorelines in the event of a marine spill

The goal of this research is to create a knowledge tool that can assist responders to act quickly and effectively in the event of a marine oil spill. In order to accomplish this goal, we will (1) develop a simple field test to gauge shoreline permeability in relation to stranded diluted bitumen on natural shorelines; (2) compare those findings against a series of experiments recently conducted by Environment Canada in a project named Bit_Ex; and (3) develop maps that estimate potential diluted bitumen retention for areas along British Columbia?s coast. Such
information can be utilized to identify specific areas of danger when shipping dilbit and could aid in contingency planning. Additionally, if a dilbit spill were to occur, the product of this research would aid the emergency responders by providing them vital information about bitumen?s retention and penetration on a given shoreline.
The industrial partners a company with its primary focus on coastal sensitive habitat mapping which is use in oil spill response. The void that this research will fill allows for CORI to stay on the leading edge of shoreline response research which ultimately strengthens their presence in the industry.

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Faculty Supervisor:

Dan Smith

Student:

Lee A. S. Britton

Partner:

Coastal and Ocean Resources

Discipline:

Geography / Geology / Earth science

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Architecture for a 3D-Vision FPGA-based System for Real-Time Object Tracking

Object tracking using stereo video is a field of research applicable to a large number of applications. However, most proposed methods are complex, and require significant computing resources to be implemented. As a result, the number of applications and environments where object tracking systems can be realistically deployed is limited. The proposed research project aims to alleviate this problem, by researching and developing a real-time stereo video-based moving object detection and tracking method and architecture utilizing minimal hardware and power resources; the anticipated result of the proposed research will be the developed architecture of the system implemented and tested using a Field-Programmable Gate Array (FPGA) platform. Through this project, the intern will further develop technical skills, as well as obtain a better understanding of industrial R&D procedures. Likewise, the industrial partner will be able to diversify their product range using the developed method and architecture for this novel technology enabling further commercialization.

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Faculty Supervisor:

Lev Kirischian

Student:

Victor Dumitriu

Partner:

Soft-R US

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

Ryerson University

Program:

Accelerate

Developing Energy-Efficient HVAC-R Systems for Smart Buildings

AYO Smart Home Ltd. is pursuing the development of integrated energy management technologies for smart buildings. Various approaches such as heat recovery, solar energy, energy storage, and passive cooling are being investigated by the AYO Smart Home Ltd. company. Novel technologies for Heating, Ventilating, Air-Conditioning, and Refrigeration (HVAC-R) are also considered as a crucial part of the investigation.
HVAC-R systems consume 50% of the total energy in buildings and 20% of the total national energy usage in European and American countries. The overall reduction of energy consumption due to smart HVAC-R systems can therefore be remarkable in smart buildings. Utilization of novel insulations and energy-efficient control of the air conditioning system are among the many technologies to be developed in this project. As a continuation of several years of research at Simon Fraser University, this project is an exciting opportunity to elevate the developed technologies to an industrial level.

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Faculty Supervisor:

Majid Bahrami

Student:

Mohammad Ali Fayazbakhsh

Partner:

AYO Smart Home

Discipline:

Engineering - mechanical

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Machining process monitoring at PWC by using machine learning and advanced artificial intelligence techniques

Pratt & Whitney Canada (PWC) seeks to improve the monitoring of its machining process aiming to reduce cost and prevent the tools, workpieces and machine damages during the machining. To achieve this improvement, data mining and advanced artificial intelligence technique which called Logical Analysis of Data (LAD) is used. LAD has ability to identify conditions of tools and of determining which machining conditions can indicate the tool failure or degradation is happening, and which can be considered redundant. Moreover, LAD provides a classification tool that can be used to diagnose and mapping the machining conditions in order to identify which parameter affects the quality and geometric profile of the machined part. A robust machining monitoring system especially for critical rotating parts will keep the quality of the process under control and highlight any deviations in closed-door process.

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Faculty Supervisor:

Soumaya Yacout

Student:

Yasser Shaban

Partner:

Pratt & Whitney Canada

Discipline:

Mathematics

Sector:

Manufacturing

University:

Polytechnique Montréal

Program:

Accelerate

Getting to Groundbreaking (G2G) Year 3 Focus on Hi-Rise

The Gettingg to Groundbreaking project 2015-16 seeks to engage two masters student interns for Sept 2015-June 2016 in order to complete original research into the home building policy and process applicable to high-rise developments in municipalities in the Metro Vancouver region and Abbotsford The interns will conduct survey, interview, secondary and case studyba. sed research, consultation across the spectrum of interests in housing policy and development issues, and will construct and maintain a unique database, for a third annual iteration of this study. The Greater Vancouver Home Builders Association and member companies engaged in this project expect to benefit from this project through greater predictability and accountability of the municipal residential approvals process that the research supports.

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Faculty Supervisor:

Meg Holden

Student:

Sophie Fung

Partner:

Greater Vancouver Home Builders’ Association

Discipline:

Urban studies

Sector:

Construction and infrastructure

University:

Simon Fraser University

Program:

Accelerate

Development of novel biochemical and biophysical assays for the identification of inhibitors of Hypoxia Inducible Factor-2

Cancer cells are known for their unique capacity to survive and grow in a low oxygen tension environment in the middle of a poorly vascularized solid tumor. This adaptation, which is central to the tumorigenesis process, is mediated by precise cellular mechanisms allowing the regulation of gene expression. Thus, the development of small molecules to modulate the activity of transcription factors is of great therapeutic interest. In order to develop such molecules, we plan to finance, with the help of IntelliSyn Pharma and Mitacs, one M.Sc. student. The trainee will study by a combination of biophysical approaches and computational chemistry the binding thermodynamics and kinetics of small compounds to the hypoxia inducible factor alpha-2. In turn, this knowledge will allow our partner IntelliSyn Pharma to optimize potent and selective inhibitors that could ultimately lead to novel cancer treatments.

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Faculty Supervisor:

Steve Bourgault

Student:

Billel Djerir

Partner:

IntelliSynRD

Discipline:

Pharmacy / Pharmacology

Sector:

Pharmaceuticals

University:

Université du Québec à Montréal

Program:

Accelerate

Physical and Virtual Simulation and Learning Management System

By studying and modeling of current production process, a physical training assembly system is built in a small scale with the exact same process, tooling as the full scale one. Along with leaning management system constructed, which includes a set of multi-media training materials, new employees can get familiarized with the manufacturing process in a shorter frame compared to traditional training. Also, by implementing what-if analysis,  results from this physical simulation can be used to study and improve current full size production process. Hence, this project will benefit Durabuilt with enhancement in employee productivity and talent retention as well as product and process improvement.

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Faculty Supervisor:

Yongsheng Ma

Student:

Parthiban Sundararaj, Parthasarathi Ramakrishnan, Yanan Xie

Partner:

Durabuilt Windows & Doors

Discipline:

Engineering - mechanical

Sector:

Construction and infrastructure

University:

University of Alberta

Program:

Accelerate

Cannabis Access Regulations Study (CANARY)

The CANARY study is a patient-centered assessment of the impact of the regulatory changes regarding access to cannabis for medical purposes in Canada. The study is the first to offer patients? perspectives regarding their experience of access to medical cannabis after the implementation of the new federal regulations that have created a decentralized competitive
national market for medical cannabis through the licensing of commercial producers. Through a nation-wide survey and interviews, the study will shed light on who is and who is not accessing the legal system of medical cannabis, and why. This valuable data will assist health professionals, policy-makers and medical cannabis providers to be responsive to the needs of Canadians who are using cannabis to manage their health conditions. As an industry association, the Canadian Association of Medical Cannabis Dispensaries will use the results of this study to inform dispensary best practices and the development of regulations for dispensaries.

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Faculty Supervisor:

Lynda Balneaves

Student:

Rielle Capler

Partner:

Canadian Association of Medical Cannabis Dispensaries

Discipline:

Medicine

Sector:

Agriculture

University:

Program:

Accelerate

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